Recommendation System with Performance Management

2. The method of claim 1, wherein the anomaly content has a highest similarity value or a lowest frequency of use value relative to other recommended contents of the third subset.

4. The method of claim 1, wherein the similarity value for the first subset is calculated based on a similarity between the user query and an entirety of a text included in each of the recommended contents.

5. The method of claim 1, wherein the weighted similarity value is calculated based on a median similarity value.

7. The method of claim 1, wherein the device includes a set top box or a mobile device.

8. The method of claim 1, wherein the network device is included in a customer support network.

10. The network device of claim 9, wherein the anomaly content has a highest similarity value or a lowest frequency of use value relative to other recommended contents of the third subset.

12. The network device of claim 9, wherein the similarity value the first subset is calculated based on a similarity between the user query and an entirety of a text included in each of the recommended contents.

13. The network device of claim 9, wherein the weighted similarity value is calculated based on a median similarity value.

15. The network device of claim 9, wherein the device includes a set top box or a mobile device.

16. The network device of claim 9, wherein the network device is included in a customer support network.

19. The non-transitory computer-readable storage medium of claim 17, wherein the anomaly content has a highest similarity value or a lowest frequency of use value relative to other recommended contents of the third subset.

20. The non-transitory computer-readable storage medium of claim 17, wherein the similarity value for each of the first subset is calculated based on a similarity between the user query and an entirety of a text included in each of the recommended contents.